ArticleBMC medical ethics2020
Community perspectives on the benefits and risks of technologically enhanced communicable disease surveillance systems: a report on four community juries.
Article in BMC medical ethics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Ethics, Integrity, and Retributions of Digital Detection Surveillance Systems for Infectious Diseases: Systematic Literature Review.Journal of medical Internet research · 2021Pooled it
- Describing the outcomes and factors of using pathogen genomic results in public health.Frontiers in public health · 2026Article
- Public funding for mitochondrial donation: An Australian public deliberation.BMC medical ethics · 2025Article
- A scoping review of the governance of federated learning in healthcare.NPJ digital medicine · 2025Article
- Public values to guide childhood vaccination mandates: A report on four Australian community juries.Health expectations : an international journal of public participation in health care and health policy · 2024Article
- Digital public health leadership in the global fight for health security.BMJ global health · 2023Article
- Using Genomics to Understand the Epidemiology of Infectious Diseases in the Northern Territory of Australia.Tropical medicine and infectious disease · 2022Review
- Should Digital Contact Tracing Technologies be used to Control COVID-19? Perspectives from an Australian Public Deliberation.Health care analysis : HCA : journal of health philosophy and policy · 2022Article
- Public Health and Epidemiology Informatics: Recent Research Trends.Yearbook of medical informatics · 2021Review
- An implementation science approach to evaluating pathogen whole genome sequencing in public health.Genome medicine · 2021Article
- Changes in public preferences for technologically enhanced surveillance following the COVID-19 pandemic: a discrete choice experiment.BMJ open · 2020Article
- Ten considerations for effectively managing the COVID-19 transition.Nature human behaviour · 2020Review
- Envisioning a learning surveillance system for tuberculosis.PloS one · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundOutbreaks of infectious disease cause serious and costly health and social problems. Two new technologies - pathogen whole genome sequencing (WGS) and Big Data analytics - promise to improve our capacity to detect and control outbreaks earlier, saving lives and resources. However, routinely using these technologies to capture more detailed and specific personal information could be perceived as intrusive and a threat to privacy.
methodFour community juries were convened in two demographically different Sydney municipalities and two regional cities in New South Wales, Australia (western Sydney, Wollongong, Tamworth, eastern Sydney) to elicit the views of well-informed community members on the acceptability and legitimacy of: making pathogen WGS and linked administrative data available for public health researchusing this information in concert with data linkage and machine learning to enhance communicable disease surveillance systems Fifty participants of diverse backgrounds, mixed genders and ages were recruited by random-digit-dialling and topic-blinded social-media advertising. Each jury was presented with balanced factual evidence supporting different expert perspectives on the potential benefits and costs of technologically enhanced public health research and communicable disease surveillance and given the opportunity to question experts.
resultsAlmost all jurors supported data linkage and WGS on routinely collected patient isolates for the purposes of public health research, provided standard de-identification practices were applied. However, allowing this information to be operationalised as a syndromic surveillance system was highly contentious with three juries voting in favour, and one against by narrow margins. For those in favour, support depended on several conditions related to system oversight and security being met. Those against were concerned about loss of privacy and did not trust Australian governments to run secure and effective systems.
conclusionsParticipants across all four events strongly supported the introduction of data linkage and pathogenomics to public health research under current research governance structures. Combining pathogen WGS with event-based data surveillance systems, however, is likely to be controversial because of a lack of public trust, even when the potential public health benefits are clear. Any suggestion of private sector involvement or commercialisation of WGS or surveillance data was unanimously rejected.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.